Pages that link to "Item:Q500844"
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The following pages link to An algorithm for the numerical solution of two-sided space-fractional partial differential equations (Q500844):
Displaying 13 items.
- Discontinuous Galerkin time stepping method for solving linear space fractional partial differential equations (Q512304) (← links)
- A novel high-order algorithm for the numerical estimation of fractional differential equations (Q1639537) (← links)
- An approach to construct higher order time discretisation schemes for time fractional partial differential equations with nonsmooth data (Q1677968) (← links)
- A higher order numerical method for time fractional partial differential equations with nonsmooth data (Q1699481) (← links)
- High-order numerical methods for solving time fractional partial differential equations (Q1704848) (← links)
- Error estimates of high-order numerical methods for solving time fractional partial differential equations (Q1711811) (← links)
- Optimal convergence rates for semidiscrete finite element approximations of linear space-fractional partial differential equations under minimal regularity assumptions (Q1736390) (← links)
- A second-order \(L2\)-\(1_\sigma\) Crank-Nicolson difference method for two-dimensional time-fractional wave equations with variable coefficients (Q2147347) (← links)
- An analysis of the L1 scheme for stochastic subdiffusion problem driven by integrated space-time white noise (Q2192610) (← links)
- Numerical methods for solving space fractional partial differential equations using Hadamard finite-part integral approach (Q2289868) (← links)
- A high-order scheme to approximate the Caputo fractional derivative and its application to solve the fractional diffusion wave equation (Q2311517) (← links)
- Fast iterative method with a second-order implicit difference scheme for time-space fractional convection-diffusion equation (Q2412727) (← links)
- An Analysis of the Modified L1 Scheme for Time-Fractional Partial Differential Equations with Nonsmooth Data (Q4600836) (← links)
